User Tools

Site Tools


projects:year7:7a.025.tut

7a.025.TUT - Multimodal Data Integration in Intelligent Buildings

Project - Summary

Data plays a vital role in future intelligent buildings. Fortunately, the incoming 5-G technology will enable us to collect data continuously. Data may be collected from a variety of data sensors, such as CO2 meters, thermometers, etc., or IoT devices, such as cameras. Nevertheless, privacy protection during data collection is an important issue. For example, in a human tracking system that uses videos, we may need to hide people's faces to keep people's identify private. Our aim in this project is to create a monitoring/data collection system that protects privacy, which is energy efficient and suitable for any type of sensory signals.

Project - Team

Team Member Role Email Phone Number Academic Site/IAB
Moncef Gabbouj PI moncef.gabbouj@tuni.fi +358 (400) 736613 Tampere University
Jenni Raitoharju Co-PI Jenni.raitoharju@tut.fi +358 50 447 8418 Tampere University
Nikolaos Passalis Co-PI Not available Not available Tampere University
Mehmet Yamac Researcher Not avaiable Not available Tampere University
Matti Vakkuri Project Mentor matti.vakkuri@haltian.com 358 40 512 6894 Tieto
Steven Greenspan Project Mentor Not available Not available CA Software

Project - Novelty of Approach

  • We will tackle the problem in the dynamic settings using subspace learning methods
  • We will develop a robust and discriminative learning method to tackle the noisy data

Project - Deliverables

Deliverables
1 Creating a data collection system which preserves both energy and privacy of users
2 Creating a multiclass encryption system upon (1), which satisfies joint compression and encryption with different levels of recovery quality
3 Creating a data hiding system for the data collected
4 Formulate a multimodal model for data analysis
5 Efficient implementation and integration to prototype

Project - Benefits to IAB

For any kind of data collection/sharing sensory devices installed in an intelligent building, the proposed scheme provides low-cost compression, encryption, and data anonymization in data collection, sharing, and analytics.

Project - Presentation Video

LINK:hhttps://www.youtube.com/watch?v=XNT0u7MRoKo&feature=youtu.be (6:28 minutes)

Project - Documents

FilenameFilesizeLast modified
7a.025.tut_ip_info_sheet.docx111.0 KiB2019/08/20 11:47
7a.025.tut_final_report.pdf641.5 KiB2019/08/20 09:14
7a.025.tut_quad_chart_2018_spring_meeting.pptx152.5 KiB2019/08/13 15:04
7a.025.tut_intelligent_building_quad_2017_fall_meeting.pptx151.4 KiB2019/08/13 15:04
7a.025.tut_confluence_project_page.pdf339.3 KiB2019/08/13 15:04
7a.025.tut_executive_summary.pdf120.6 KiB2019/08/13 15:04
7a.025.tut_cvdi-mid-year-report-intelligent-building.pdf330.0 KiB2019/08/13 15:04
projects/year7/7a.025.tut.txt · Last modified: 2021/06/02 15:12 by sally.johnson